Election Forecasting in the Digital Era: Sentiment Analysis and Social Media Data versus Traditional Polling
This work was independently authored by Dimitrios Triantafyllidis and examines the use of sentiment analysis, social media data, and search trends in election forecasting. It compares traditional polling methods with digital approaches, highlighting the advantages and challenges of using artificial intelligence and big data. The author is affiliated with the Department of Applied Informatics, University of Macedonia (Greece), though the work was not conducted as part of a formal thesis or supervised project.
Institutions
- University of Macedonia (GR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-04
- DOI
- https://doi.org/10.5281/zenodo.15806765
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00